Hydrological models are useful for assessing the impact of landscape organization for effective mitigation strategies. However, using these models requires reducing uncertainties in their results, which can be achieved through model–data fusion. We integrate satellite surface moisture images into a water and pesticide transfer model. We compare three methods, studying their performance and exploring various scenarios. This study helps improve decision support in water quality management.